Production-tested strategy to cut pipeline failures from 12% to 2% using YAML-based data quality checks (DPAT), CI/CD gates, and strict data contracts. Includes before/after metrics and architecture for self-healing pipelines in prod.
Guide to building AI pipelines with BigQuery ML and Vertex AI. Learn SQL-first modeling, real-time endpoints, automated retraining, and drift monitoring. Includes diagrams and code that cut time-to-model from 6 weeks to 2 hours fast.